Title :
Quantizer design for distributed estimation with communication constraints and unknown observation statistics
Author :
Megalooikonomou, Vasileios ; Yesha, Yaacov
Author_Institution :
Dept. of Comput. Sci., Dartmouth Coll., Hanover, NH, USA
fDate :
2/1/2000 12:00:00 AM
Abstract :
We consider the problem of quantizer design in a distributed estimation system with communication constraints in the case where only a training sequence is available. Our approach is based on a generalization of regression trees. The look-ahead method that we also propose improves significantly the performance. The final system performs similarly to the one that assumes known statistics
Keywords :
parameter estimation; quantisation (signal); sensor fusion; statistical analysis; trees (mathematics); communication constraints; cooperative design-separate encoding; distributed estimation; fusion center; observation statistics; performance; quantizer design; regression trees generalization; training sequence; vector quantizer; Computer science; Quantization; Radar remote sensing; Regression tree analysis; Remote sensing; Satellites; Seismology; Sensor fusion; Sonar; Statistical distributions;
Journal_Title :
Communications, IEEE Transactions on
